The human body is a complex electro-mechanical system that generates electrical, mechanical, thermal, and other signals that we normally call Biomedical Signals.
ECG, EMG, PCG, PPG, BCG, skin temperature, and skin conductance are some of the 1D biomedical signals examples that record the dynamic changes of the human body, and that can also be monitored by the use of smart wearables. The automatic analysis of biomedical signals has become an important process to both identify indicators of diseased states and to provide meaningful information for various applications in physiology, sports medicine and human–computer interface.
Recent advances in Artificial Intelligence (AI) have the potential to manage and analyze large biomedical datasets leading to the clinical decisions and real-time applications. These techniques have been applied successfully to medical imaging, but the analysis of 1D biomedical signals has yet to fully benefit from this novel approach. Biomedical Signal and Image Processing include the analysis, classification, and manipulation of signals by means of operations like filtering, compression, feature extraction, enhancement and spectral analysis. Under such conditions, the use of computational innovative techniques based on the convergence of signal and image processing will help us to get new solutions to the real-world challenges.
This Special Issue is aimed at sharing the innovative ideas and algorithms in the Biomedical Signal and Image processing domain. Precisely, the objective of this Special Issue is to focus the attention on emerging methods and techniques based on the transformation of biomedical signals into images and their processing through AI based image processing approaches. With this mission, the principal aim of this Special Issue is to collect original contributions as either research papers or comprehensive reviews that address and discuss the impact and relevance of signals and images processing in research and applicative areas such as:
– Audio and Acoustic Signal Processing
– Cardiovascular Signals Processing
– Medical Signal Acquisition, Analysis and Processing
– Motion Control
– Physiological Processes and Biomedical signal Modeling
– Neural Networks for Biomedical Data
– Pattern Recognition & Machine Learning for Biomedical Data
– Biomedical signals from wearable sensors and systems
– Real-Time Systems & Biomedical-Based User Interfaces
– Internet of Health Things
– Detection and Identification of diseases
– Electromagnetic Fields in Biology and Medicine
all referred to processing of 1D Biomedical Signals as images.
Paper Format and Submission:
For general author guidelines and author information pack, please visit: https://www.elsevier.com/journals/biomedical-signal-processing-and-control/1746-8094/guide-for-authors
Paper submission is done online: http://ees.elsevier.com/bspc/default.asp?acw=&utt=
Please notice that you have to specify submission for the special issue on “Biomed Signals as Images”.
Manuscript submission due: March 30, 2021
First Review Results: June 30, 2021
Final Review and Decision: October 30, 2021
Publication date: 4th Quarter 2021
Dr. Giovanna Sannino – Cnr-Icar, Italy – firstname.lastname@example.org
Dr. Nadia Brancati – Cnr-Icar, Italy – email@example.com
Prof. Alfred M. Bruckstein – Dep. of Computer Science, Technion IIT, Haifa, Israel – firstname.lastname@example.org
Dr. Maria Frucci – Cnr-Icar, Italy – email@example.com
Prof. Daniel Riccio – University of Naples Federico II, Italy – firstname.lastname@example.org
CNR – Istituto di calcolo e reti ad alte prestazioni
Via Pietro Castellino, 111 – Napoli
Annalisa Castiglione, Cnr- Icar, email: email@example.com
Source: Italian National Research Council CNR